Trusted by India's fastest-growing enterprises
Three-way matching is the control that prevents your enterprise from paying for goods that were never ordered, never delivered, or billed at the wrong price. Hubler automates it — retrieving POs from any source, reading delivery challans and GRNs from multiple channels, extracting invoice data via OCR and document intelligence, and releasing clean invoices to payment without manual intervention.
Trusted by India's fastest-growing enterprises
Most enterprises know three-way matching matters. Most enterprises also know their AP teams are doing it manually — comparing documents across ERP screens, email attachments, and spreadsheets, one invoice at a time.
Manual invoice processing is materially more expensive than automated processing. The gap compounds at enterprise invoice volumes — in processing time, in AP headcount, and in the duplicate payments and overpayments that manual reconciliation routinely misses.
Payment fraud remains a major enterprise risk. Three-way matching is one of the most effective controls against it — by validating every invoice against authorised purchase and receipt records before payment is released. Without it, a fake invoice for goods never ordered or never delivered can pass through AP without a single system-level check.
When goods are received but the GRN is created late, created in a separate system Finance never sees, or never created at all, every invoice that follows becomes a manual exception. Finance becomes a reconciler. The root cause is almost always the same: goods receipt was never connected to the AP workflow.
"The goods receipt is the step that breaks the match. If the dock supervisor signs the packing slip and Finance never sees it, every invoice becomes a manual exception."
Three-way matching is not an ERP feature. It is a process that needs three documents and a comparison engine. Hubler is that engine — sitting above your ERP, connecting procurement, receiving, and AP into one governed workflow. POs come from any source. GRNs and delivery challans come from any channel. Invoices arrive in any format. Hubler reads, extracts, resolves vendor terminology against your PO descriptions using AI semantic matching, matches at header and line-item level, and routes — automatically.
Hubler matches at header and line-item level — PO line to GRN line to invoice line — so quantity, price, tax, and delivery variances are caught at the line level before payment, not discovered as a reconciliation problem afterwards.
The PO is the reference document — the authorised commitment against which everything else is measured. Hubler supports both procurement models without requiring you to change how your enterprise operates.
Purchase requests raised and approved in Hubler generate POs automatically — with contracted terms, correct tax codes, and vendor details pre-populated.
When a PO already exists in SAP S/4HANA, Oracle Fusion, Microsoft Dynamics, NetSuite, Coupa, SAP Ariba, Jaggaer, Ivalua, or another connected system, Hubler retrieves it automatically and uses it as the matching reference document. No duplicate PO creation required.
Item, quantity, unit price, total value, tax treatment, vendor, delivery date, cost centre, approval authority, source system reference.
The goods receipt confirms what actually arrived — and it is the step most AP processes get wrong. Hubler connects to every channel through which proof of receipt can originate.
Items received, quantities confirmed, condition, delivery date, location, receiving channel, source document reference, photo evidence where configured.
Vendor invoices arrive through many channels and in many formats. Hubler reads them all.
Invoice number, line items, quantities, unit prices, total value, tax, payment terms, vendor details, submission channel, submission timestamp, extraction confidence score.
When all three documents agree within configured tolerance levels — at header and at every line item — the invoice moves automatically to payment scheduling. No manual review required.
When they don't agree, Hubler routes the discrepancy — with specific variance detail at line level — to the right person for resolution. Not to a general AP queue. To the person whose approval is required for that type of exception, by value, category, or business rule.
PO, GRN, and invoice agree on all key fields at header and line-item level within tolerance. Invoice moves to payment scheduling automatically.
Quantities or prices are within configured tolerance bands. Hubler applies your policy — approve automatically, flag for review, or escalate based on variance percentage. You define the rules.
Material discrepancy detected at line level. Invoice quarantined. Exception routed with specific line-level variance detail to the right resolution owner. The rest of the payment run continues uninterrupted.
Purchase orders, delivery challans, packing slips, proof-of-delivery documents, service entry sheets, goods receipts, invoices, and tax documents can be received through email, upload, portal, EDI, Peppol, or ERP integration. Hubler's document intelligence layer extracts key fields automatically — PO numbers, line items, quantities, unit prices, tax values, dates, vendor references, and delivery confirmations — validates document quality, matches cross-references, and prepares records for automated three-way matching.
Your team reviews exceptions. Hubler handles the document processing.
Structured data extracted from PDFs, scanned documents, and image uploads — PO numbers, line items, quantities, prices, tax values, vendor details, and delivery references identified automatically regardless of document layout.
Extracted fields validated against expected values before matching begins. Low-confidence extractions flagged for human review before they enter the matching workflow — not after a payment error has occurred.
PO numbers, vendor references, and delivery references identified across documents and matched to existing records automatically. Documents without valid references are quarantined and the originating party notified.
Duplicate invoice detection runs across multiple dimensions simultaneously — invoice number, vendor reference, PO number, total amount, tax value, invoice date, and OCR similarity matching. Catches both exact duplicates and near-duplicate resubmissions before payment is released.
High-volume AP teams spend hours every week resolving exceptions that aren't real exceptions — they're terminology mismatches between vendor item descriptions and internal PO language. A vendor calls it "SS Hex Bolt M8×25"; your PO says "Stainless Fastener 8mm." The quantity and price are right. The item is right. But the description doesn't match, so the system flags it and a human has to intervene. Hubler eliminates this category of false exception using AI semantic matching — resolving vendor terminology against your PO descriptions automatically before the exception is raised.
AI compares the meaning of vendor item descriptions against PO line descriptions — not just the characters. Synonyms, abbreviations, unit variations, and industry terminology are resolved automatically.
Vendor part numbers and internal SKUs are cross-referenced automatically against your item master. Known equivalences are resolved without human intervention.
Key specifications — dimensions, materials, grades, capacities, units of measure — are extracted from free-text descriptions on both sides and compared at attribute level, not string level.
Every item match is assigned a confidence score. High-confidence matches proceed automatically. Lower-confidence matches are routed to AP with the match rationale displayed — one click to approve or reject.
The result: fewer false exceptions reaching AP queues, faster cycle times for clean invoices, and human attention reserved for item mismatches that are genuinely ambiguous or genuinely wrong — not for terminology translation between your procurement team's language and your vendors'.
In high-volume AP environments — thousands of invoice lines per day across hundreds of vendors — terminology mismatches can represent 15–30% of all exception volume. These are not payment errors. They are description differences between how your procurement team writes PO descriptions and how your vendors label their products. AI semantic matching eliminates this category of exception at source, before it reaches your AP queue.
In most enterprise AP processes, an invoice exception means the invoice stops moving. It sits in a queue. Someone chases it. Days pass. Vendors call. The AP team becomes a status update service.
Hubler routes exceptions differently. Every exception is categorised by type, assigned to the right resolution owner, given a resolution SLA, and tracked until it closes. The rest of the payment run continues. One exception does not hold up fifty clean invoices.
Three-way matching is a financial control. Financial controls only work if they are auditable. Hubler logs every event in the invoice matching lifecycle automatically, without manual documentation effort.
Hubler does not replace your ERP or your procurement platform. It runs the matching process between every system that touches a transaction — reading PO data from any procurement source, matching against delivery challans and GRNs from any receiving channel, and writing confirmed payment records back to your ERP automatically.
Most three-way matching tools fail at the goods receipt step — because GRNs are created late, incompletely, or in a separate system Finance never sees. Hubler connects to every channel through which proof of receipt can originate: Hubler mobile, ERP transactions, WMS systems, delivery challans, signed PODs, ASNs, and EDI messages. By the time an invoice arrives, the receipt confirmation already exists. The match runs at line level in seconds.
Real enterprise procurement is not one invoice, one PO. A single vendor invoice often spans multiple purchase orders, multiple delivery locations, or multiple goods receipts. Hubler's matching engine handles consolidated billing natively — allocating invoice lines across the appropriate POs and GRNs at line level before evaluating variances. One invoice against seven POs is handled the same way as one invoice against one.
Not all enterprise spend involves physical goods. Contractors, agencies, consultants, maintenance providers, and managed service vendors generate invoices against service entry sheets, milestone approvals, work confirmations, and timesheets — not GRNs. Hubler matches service invoices against the appropriate confirmation document with the same governance, tolerance rules, and audit trail as goods matching.
Not every price variance is a problem. Hubler lets you define tolerance rules by vendor, item category, purchase value, cost centre, and any combination of these. Invoices within tolerance are approved automatically per your policy. Human attention is reserved for exceptions that actually require it.
Hubler logs every matching event automatically — invoice receipt, document extraction, PO retrieval, GRN check, line-level price validation, tax check, duplicate check, exception routing, resolution, payment scheduling, and ERP posting confirmation. When your auditor asks for the invoice matching record, Hubler produces it instantly. No reconstruction required.
Yes. Hubler supports all three matching configurations:
The matching configuration is set per vendor, item category, or purchase type — so different parts of your procurement can run different matching rules within the same platform.
This is one of the most common sources of false exceptions in high-volume AP — and it's the problem Hubler's AI semantic matching is designed to eliminate.
When a vendor invoice line says "Industrial Lubricant 5L, ISO VG 220" and your PO line says "Heavy-Duty Gear Oil, 5000ml, Grade 220," a conventional matching system treats these as a mismatch and raises an exception. Your AP team then has to manually confirm what any procurement person already knows: it's the same item.
Hubler runs a semantic matching pass before raising any item description exception. The AI compares the meaning of the vendor's description against your PO line — resolving synonyms, abbreviations, unit variations (5L vs 5000ml), and equivalent grade or specification references. It also cross-references vendor part numbers and internal SKUs against your item master where available, and extracts key specifications (dimensions, materials, grades) from both descriptions for attribute-level comparison.
When the semantic match confidence is high — typically above a configured threshold — the match is approved automatically and no exception is raised. When confidence is below the threshold, the invoice line is routed to AP with the full match rationale displayed: what the vendor said, what the PO says, how similar they are, and which attributes differ. The AP reviewer sees exactly what the AI found and approves or rejects with one click.
The goal is to eliminate the entire category of false exceptions caused by terminology differences — so your AP team's attention is reserved for item mismatches that are genuinely ambiguous or genuinely wrong.
Yes. Hubler supports all enterprise matching configurations:
The matching engine allocates invoice lines across the appropriate purchase orders and goods receipts at line level before evaluating variances and tolerances.
Explore how finance and procurement teams eliminated manual matching — and where to start in your own environment.
Your vendor base, your ERP, your procurement platform, your approval structure, your tolerance rules. We will show you exactly how Hubler's matching engine runs in your environment — with multi-PO support, line-level matching, document intelligence, exception handling, and ERP integration built in — in 30 minutes.